Abstract: The application of electronic tongues (E-tongues) in analyses relies on a series of measurements with expensive functionalized sensor arrays. In the current work, we establish a hybrid ...
Glioma represents the most prevalent and lethal primary malignant tumor of the central nervous system, characterized by remarkable cellular heterogeneity and poor prognosis. Comprehensive ...
Abstract: Industrial data usually have nonlinear or multimodal characteristics which do not meet the data assumptions of statistics in principal component analysis (PCA). Therefore, PCA has a lower ...
Mar. 2021 ( V0.1.9 ): First version for Seurat 4.0.0 Feb. 2021 ( V0.1.8 ): Last version for Seurat 3.0.0 Nov. 2019 ( v0.1.7 ): In ".simple_combine(D1, D2, FILL=TRUE)", "FILL" can help users to keep ...
Single-cell RNA sequencing (scRNA-seq) has become one of the most widely used technologies in basic biology. With the rise of scRNA-seq, the use of UMAP has become ubiquitous in publications. While ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Faces carry key personal information about individuals, including cues to their identity, social traits, and emotional state. Much research to date has employed static images of faces taken under ...
Principal Component Analysis (PCA) is an unsupervised learning algorithm known for its effectiveness in dimensionality reduction. PCA enhances data interpretability while minimising information loss ...
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